Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France
Jean Joseph Minviel and
Timo Sipiläinen ()
Additional contact information
Jean Joseph Minviel: SMART, INRA
Timo Sipiläinen: University of Helsinki, Department of Economics and Management
Journal of Productivity Analysis, 2018, vol. 50, issue 1, No 3, 54 pages
Abstract:
Abstract The existing literature on the subsidy-efficiency nexus is almost exclusively based on static modelling and thus ignores the inter-temporal nature of production decisions. The present paper contributes to this literature by developing a dynamic stochastic frontier model, which is then estimated using a sample of French farms over the period 1992–2011. For comparison purposes, the static counterpart of the dynamic model is also estimated. The results indicate that, in the dynamic case as well as in the static one, public subsidies are negatively associated with farm technical efficiency. Nevertheless, these linkages are found to be weak, and they are much weaker when dynamic aspects are taken into account.
Keywords: Dynamic efficiency; Hyperbolic distance function; Subsidies; Farms (search for similar items in EconPapers)
JEL-codes: C54 D24 D92 Q12 Q18 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://link.springer.com/10.1007/s11123-018-0533-y Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:50:y:2018:i:1:d:10.1007_s11123-018-0533-y
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-018-0533-y
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().